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The Coming Age of Formulation Economics

For most of modern economic history, intelligence has been understood as a productive resource. A more intelligent worker could solve problems more effectively. A more intelligent manager could allocate resources more efficiently. A more intelligent scientist could discover better explanations for observed phenomena. The underlying assumption remained the same: intelligence creates value by navigating a world whose structure already exists. Artificial intelligence has largely inherited this framework. Discussions about economic impact center on productivity. How many tasks can be automated? How much labor can be replaced? How many reports can be generated, diagnoses performed, contracts reviewed, or lines of code written? These are important questions, but they all concern the same underlying activity: reasoning within an established space. Reasoning, however, may not be the deepest source of economic value. The most transformative developments in history were not simply new solu...
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The High-Dimensional Runway

  The High-Dimensional Runway How Creators Spark Alien Intelligence For decades, our discourse surrounding artificial intelligence has been dominated by a single, anxious question: When will the machine surpass the human? We envision a distant horizon where synthetic minds wake up, outpace our collective genius, and leave their creators behind like biological relics. Yet this framing treats intelligence as a static commodity that can be measured, bottled, and transferred into silicon. It misses a far stranger and more intimate reality visible in the daily friction between humans and advanced computational systems. An AI is not an autonomous island of intellect; it is a resonant mirror. For a long time, the prevailing counter-argument has been that an AI is only as intelligent as its user—a sentiment that paints the human as the sole driver and the machine as a mere bicycle for the mind. But this view collapses once we move past transactional prompt-and-response interactions and...
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9 Reasons I Write for the Prudentia High IQ Blog

1. Mensa Writing Mensa writing is much to bumpkinly for me , focusing on topic s like Blueberry Muffins or Why My Cat Elisa has nine names. Honestly, just topics I cannot get my head around. I was a Mensa member for a few years before I realized, I do not like this organization, in fact, I think I was only a member because I need ed some anti-Zen ego masturbation or maybe I am just to pompous . Who knows!? I believe I joined somewhere around 1989 or 90, I do not recall exactly but I remember being excited at the prospect of “heady” conversations, etc. What a disappointment! It was just more chitchat, however, chitchat that included words like, Sycophant, Equanimity, Obfuscate, Pervasive, Vicissitudes, Anachronistic, Proclivity, Ostensible, Epistemology, Perspicacious and much more in the way of SAT verbalization. 2. Translation I spend way too many cycles during my day trying to “translate,” that is, for lack of a better way of say it, dumbing down. Family, friends, st...
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Software Development: How a profession is changing

One of the branches of economy where artificial intelligence (AI) is already widely used is software development. It has turned out that large-language models are very good at writing code in all sorts of programming languages, even machine code. Many software developers have already been sacked because they aren't needed by their employers any more; AI tools such as OpenAI Codex, Claude Code or Microsoft Copilot have replaced them. These tools can be handled by people with moderate computer skills, without a training in information technology and without experience working as programmers. Don't get me wrong: Technical expertise is still needed in software development. But the truly difficult aspects of programming, the ones that used to require a lot of brainpower, are now handled by AI in the blink of an eye. These are the very tasks that, until now, have primarily attracted people with above-average intelligence to the field of software development. Now, after a certain amou...
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The Ferguson Peak

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Most discussions of intelligence assume a simple relationship: the smarter a person is, the more likely they are to be recognized. High intelligence leads to educational success, professional achievement, and eventually historical visibility. On average, this is true. Yet averages can conceal important structural effects. The assumption behind most systems of talent identification is that recognition increases with ability. Schools select promising students. Universities select promising applicants. Employers select promising candidates. Research institutions select promising researchers. Every stage depends on the idea that exceptional ability will eventually become visible and therefore discoverable. But what if recognition does not increase indefinitely with intelligence? What if recognition rises with ability only up to a certain point and then becomes increasingly dependent on other factors? I call this possibility the Ferguson Peak , naming it after Michael W. Ferguson, ...
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